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The research is in the field of artificial intelligence for science (AI for Science). The primary mission is to overcome technical bottlenecks related to the representation of complex scientific data (graphs, 3D
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robust spectral and angular performance, ensuring stable optical behavior over wide incidence angles, large-area scalability, and environmental robustness. The main objectives of the project are: • Design
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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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extensive experience in the development and characterization of new renewable macromolecular architectures. The candidate (M/F) will carry out their work as part of a European project involving a dozen
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scientific environment. The postdoctoral researcher will join the “Ligands, Architectures Complexes et Catalyse” team, which has recognized expertise in the design of original metal complexes and their
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single cell cycle round. This points to a yet-to-be-explored original and divergent cell cycle architecture where conventional rules likely do not apply. We study different aspects of the cell cycle